Repository: easychen/botchan Branch: master Commit: 5d6cb95146ec Files: 8 Total size: 97.0 KB Directory structure: gitextract_y4igddsm/ ├── .gitignore ├── Dockerfile ├── LICENSE ├── README.md ├── docker-compose.example.yml ├── index.js ├── package.json └── yarn-error.log ================================================ FILE CONTENTS ================================================ ================================================ FILE: .gitignore ================================================ node_modules db.json cache.json .env docker-compose.yml ================================================ FILE: Dockerfile ================================================ FROM node:18-alpine VOLUME /data ENV DB_TYPE=json WORKDIR /app COPY index.js ./ COPY package*.json ./ RUN npm install EXPOSE 9000 CMD ["node", "index.js"] ================================================ FILE: LICENSE ================================================ GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. 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The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . ================================================ FILE: README.md ================================================ # BotChan · Bot酱 Bot酱使用微信测试号对接任何兼容OpenAI规范的API接口（例如[API+](https://apipl.us/?mtm_campaign=botchan)、[API2D](https://api2d.com/r/186008)），实现ChatBot。 ![](images/20231009132204.png) ## ⚠️ 特别提示 如果配置好以后，服务器端有日志输出，但微信无反应，日志提示 get access token failed，那么恭喜你遇到微信测试号平台的Bug了。尤其是对于刚开通的账号。可以试试手动退出微信测试号平台，重新扫码登录，查看 appsecret 是不是变了，然后改用新的 appsecret 。 ## 安装和配置 ### 准备资料 1. [访问并开通微信测试号](https://mp.weixin.qq.com/debug/cgi-bin/sandbox?t=sandbox/login) 将页面上的 appID、appsecret作为环境变量 ```yml - MP_APPID=appID - MP_APPSECRET=appsecret ``` 2. 随机编写一个Token ```yml - MP_TOKEN=your-random-token ``` 3. 设置 OpenAI 接口 > 如果要使用 OpenAI 官方接口，需要将镜像部署在海外，否则很可能网络不通 OpenAI 配置示例 ```yml - DEFAULT_API_URL=https://api.openai.com - DEFAULT_API_KEY=sk... - DEFAULT_MODEL=gpt-3.5-turbo ``` API2D 配置示例 ```yml - DEFAULT_API_URL=https://oa.api2d.net - DEFAULT_API_KEY=fk... - DEFAULT_MODEL=gpt-3.5-turbo ``` 4. 设置触发词 可通过以下环境变量设置触发词，设置后只有包含触发词的对话才会触发AI答复。如果测试为空，那么每一句都可以触发AI答复。 ```yml DEFAULT_API_WORD= ``` 5. 对话命令和默认参数锁定 设置的默认值可以通过 `/setXXX` 命令（针对每个人）进行配置，可通过 `/help` 查看。 但某些参数你可能不希望用户修改，可以用以下环境变量锁定： ```yml LOCK_API_URL=true LOCK_API_KEY=true LOCK_API_WORD=true LOCK_MODEL=true ``` 6. 启动服务后（见后），记得将回调地址和Token回填到微信测试号设置页面。 ### Docker > 请按上文介绍修改环境变量 > 确保对 `./data` 有写权限，或者挂到有权限的地方去 ```bash docker run -d --name bot \ -e MP_APPID= \ -e MP_APPSECRET= \ -e MP_TOKEN= \ -e DEFAULT_API_URL=https://oa.api2d.net \ -e DEFAULT_API_WORD= \ -e DEFAULT_API_KEY=fk... \ -e LOCK_API_URL=true \ -e LOCK_API_KEY=true \ -e LOCK_MODEL=true \ -e DB_TYPE=json \ -v ./data:/data \ -p 80:9000 \ easychen/botchan:latest ``` ### Docker-compose > 请按上文介绍修改环境变量 > 确保对 `./data` 有写权限，或者挂到有权限的地方去 复制 `docker-compose.example.yml` 为 `docker-compose.yml`，并根据需要修改环境变量： ```yml version: '3' services: bot: image: easychen/botchan environment: - MP_APPID= - MP_APPSECRET= - MP_TOKEN= - DEFAULT_API_URL=https://oa.api2d.net - DEFAULT_API_WORD= - DEFAULT_API_KEY=fk... - LOCK_API_URL=true - LOCK_API_KEY=true - LOCK_MODEL=true - DB_TYPE=json volumes: - ./data:/data ports: - 80:9000 ``` 启动服务 ```bash docker-compose up -d ``` > nodejs 安装见最后 ## 回填Token和回调地址 启动服务后，我们可以获得`回调地址`。如果IP/域名是`xxx.xxx.xxx.xxx:xxxx`，那么`回调地址`是`http://xxx.xxx.xxx.xxx:xxxx/wechat` > 如果你在本机测试，需要使用 ngrok 等内网穿透工具创建一个公网可以访问的域名 回到测试号设置页面，点击 `接口配置信息` 后的修改链接，会将 `回调地址` 和 `TOKEN`( 即 `MP_TOKEN` ) 填入并保存。 ![](images/20231009130318.png) ## 使用 用微信扫描测试号设置页面的二维码，关注测试号以后，可以发送问题。也可以通过 `/setXXX` 命令进行针对个人的配置。 可以通过 `/help` 查看可用命令。 > 你可以将测试号「发送到桌面」，作为快速进入的入口。这样就不用在微信里边到处找了 ## 高级配置 ### 模型配置 可以进一步指定模型参数优化需要的答复 ```yml - MAX_TOKEN=1000 #返回的最大token数 - TEMPERATURE=0.8 #模型的temperature - TIMEOUT=180 #超时秒数 - STREAM=true #是否采用流式传输 ``` ### AZURE 支持 Bot酱兼容 Azure 接口，将 DEFAULT_API_URL 指定为 Azure Endpoint（ https://xxx.openai.azure.com ） 即可。 Azure 的 Deployment 需要和 azure 的 model name 保持一致。 ![](images/20231010183939.png) 在通过命令或者配置文件指定模型时，请使用 OpenAI 官方的名称，如 `gpt-3.5-turbo`。 ### 截断设置 过长文字可能导致内容无法返回，会截断为多条。 > 注意：受微信平台限制，每次互动，只能最多回复五条消息，因此不要将字数设置太低，可能导致超过五条 ```yml - REPLY_CHUNK_LENGHT=1000 #字数 ``` ### 使用 NodeJS 架设服务 #### 包依赖安装 node18 ```bash yarn add api2d body-parser cors cross-fetch dotenv express express-xml-bodyparser knex mysql2 simple-json-db ``` node16.13.1 ```bash yarn add api2d body-parser cors cross-fetch dotenv express express-xml-bodyparser knex mysql2@3.0.1 simple-json-db ``` 启动服务 `node index.js` 端口 `9000` ### 将用户设置保存到数据库 默认情况下，用户设置保存在 `/data/db.json` ，这要求运行环境可写；你也可将用户设置保存在 MySQL中。 #### MySQL 表初始化 ```sql CREATE TABLE `data` ( `id` int NOT NULL AUTO_INCREMENT, `key` varchar(255) NOT NULL, `value` text, PRIMARY KEY (`id`), UNIQUE KEY `key` (`key`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci; ``` #### MySQL 环境变量 ```yml - DB_HOST - DB_PORT - DB_USER - DB_PASSWD - DB_NAME ``` #### 切换用户配置保存模式 ```yml - DB_TYPE=mysql2 ``` ================================================ FILE: docker-compose.example.yml ================================================ version: '3' services: bot: image: easychen/botchan environment: - MP_APPID= - MP_APPSECRET= - MP_TOKEN= - DEFAULT_API_URL=https://oa.api2d.net - DEFAULT_API_WORD= - DEFAULT_API_KEY=fk... - LOCK_API_URL=true - LOCK_API_KEY=true - LOCK_MODEL=true - DB_TYPE=json - STREAM=true - REPLY_CHUNK_LENGHT=1000 volumes: - ./data:/data ports: - 80:9000 ================================================ FILE: index.js ================================================ import express from 'express'; import cors from 'cors'; import crypto from 'crypto'; import xml_bodyparser from 'express-xml-bodyparser'; import xml2js from 'xml2js'; import JSONdb from 'simple-json-db'; import Api2d from 'api2d'; import fetch from 'cross-fetch'; import dotenv from 'dotenv'; import bodyParser from 'body-parser'; import knex from 'knex'; // 从 .env 文件中读取环境变量 dotenv.config(); const { MP_TOKEN,MP_APPID, MP_APPSECRET, TELEGRAM_BOT_TOKEN, TELEGRAM_BOT_API, DB_TYPE, DB_HOST, DB_PORT, DB_USER, DB_PASSWD, DB_NAME, DB_TABLE, DEFAULT_API_URL, DEFAULT_API_KEY, DEFAULT_API_WORD, DEFAULT_MODEL, LOCK_API_URL, LOCK_API_KEY, LOCK_API_WORD, LOCK_MODEL, MAX_TOKEN, TEMPERATURE, TIMEOUT, STREAM, REPLY_CHUNK_LENGHT } = process.env; let db; if (DB_TYPE === 'json') { db = new JSONdb('/data/db.json'); } else { const connection = knex({ client: DB_TYPE, connection: { host: DB_HOST, port: DB_PORT, user: DB_USER, password: DB_PASSWD, database: DB_NAME }, }); db = { get: async (key) => { const ret = await connection(DB_TABLE).where({ key }).first() console.log("db get", key, ret?.value); return ret && ret.value || null; }, set: async (key, value) => { // 查询key是否存在，存在则更新，不存在则插入 const ret = await connection(DB_TABLE).where({ key }).first(); console.log("db set", key, value, ret); if (ret) { await connection(DB_TABLE).where({ key }).update({ value }); } else { await connection(DB_TABLE).insert({ key, value }); } } } } // 缓存直接写系统目录 const cache = new JSONdb('/tmp/cache.json'); const cmdDocs = [`命令：\n`]; if (!LOCK_API_KEY) cmdDocs.push('🎈 /setKey=API_KEY - 设置OPENAI/API+/API2d Key'); if (!LOCK_API_URL) cmdDocs.push('🎈 /setUrl=API_URL - 设置OPENAI/API+/API2d API入口，不包含 /v1/chat/...部分'); if (!LOCK_API_WORD) cmdDocs.push('🎈 /setWord=API_WORD - 设置问答触发词'); cmdDocs.push('🎈 /setSystem=SYSTEM_MESSAGE - 设置系统提示词'); if (!LOCK_MODEL) cmdDocs.push('🎈 /setModel=MODEL_NAME - 设置模型名称'); const helpDoc = cmdDocs.join('\n'); const app = express(); app.use(cors()); app.all('/wechat', xml_bodyparser(), checkSignature, async (req, res) => { const xml = req.body.xml; const { msgtype, fromusername, tousername, content } = xml; if (!content || !tousername || !msgtype) { // 解析不到对应的结果，跳过 res.send('success'); return false; } let input = content[0]; const openid = fromusername[0]; switch (msgtype[0]) { case 'text': // 通过正则表达式匹配命令 // :key=value const reg = /^\/(\w+)=(.*?)($|\s)/; const result = input.match(reg); if (result) { const key = result[1]; const value = result[2]; switch (String(key).toLowerCase()) { case 'setkey': if (LOCK_API_KEY) { sendReply(res, makeMsg(fromusername[0], tousername[0], 'Command setkey locked')); } else { await db.set(`API_KEY_${openid}`, value); sendReply(res, makeMsg(fromusername[0], tousername[0], "API_KEY saved")); } break; case 'seturl': if (LOCK_API_URL) { sendReply(res, makeMsg(fromusername[0], tousername[0], 'Command seturl locked')); } else { await db.set(`API_URL_${openid}`, value); sendReply(res, makeMsg(fromusername[0], tousername[0], "API_URL saved")); } break; case 'setword': if (LOCK_API_WORD) { sendReply(res, makeMsg(fromusername[0], tousername[0], 'Command setword locked')); } else { await db.set(`API_WORD_${openid}`, value); sendReply(res, makeMsg(fromusername[0], tousername[0], "API_WORD saved")); } break; case 'setsystem': await db.set(`API_SYSTEM_MESSAGE_${openid}`, value); sendReply(res, makeMsg(fromusername[0], tousername[0], "API_SYSTEM_MESSAGE saved")); break; case 'setmodel': if (LOCK_MODEL) { sendReply(res, makeMsg(fromusername[0], tousername[0], 'Command setmodel locked')); } else { await db.set(`MODEL_${openid}`, value); sendReply(res, makeMsg(fromusername[0], tousername[0], "MODEL saved")); } break; default: sendReply(res, makeMsg(fromusername[0], tousername[0], 'Unknown command')); break; } return true; } else if (input === '/help') { sendReply(res, makeMsg(fromusername[0], tousername[0], helpDoc)); return true; } else { // 如果没有定义的命令 const word = await db.get(`API_WORD_${openid}`) || DEFAULT_API_WORD; const key = await db.get(`API_KEY_${openid}`) || DEFAULT_API_KEY; const url = await db.get(`API_URL_${openid}`) || DEFAULT_API_URL; if ( !key || !url) { // sendReply(res, makeMsg(fromusername[0], tousername[0], `请先设置API_KEY[${key ? '✅' : '❌'}] - API_URL[${url ? '✅' : '❌'}] - API_WORD[${word ? word : ' '}]\n\n${helpDoc}`)); res.send('success'); return true; } else { // 如果设置了触发词 if( word ) { if( input.indexOf(word) !== -1 ) { input = input.replace(word, ''); }else { return res.send('success'); } } res.send('success'); process.nextTick(() => { // 调用API llmReply(key, url, input, openid); }); return true; } } break; } res.send('success'); return true; }); app.all('/telegram', bodyParser.json(), async (req, res) => { const { message } = req.body; const input = message.text; const reply = message.reply_to_message?.text||""; const fromid = message.from.id; console.log("telegram", req.body); const reg = /^\/(\w+)=(.*?)($|\s)/; const result = input.match(reg); console.log("input parse", result); if (result) { const key = result[1]; const value = result[2]; switch (String(key).toLowerCase()) { case 'setkey': if (LOCK_API_KEY) { await tgReply(fromid, 'Command setkey locked'); } else { await db.set(`API_KEY_${fromid}`, value); await tgReply(fromid, "API_KEY saved"); } break; case 'seturl': if (LOCK_API_URL) { await tgReply(fromid, 'Command seturl locked'); } else { await db.set(`API_URL_${fromid}`, value); await tgReply(fromid, "API_URL saved"); } break; case 'setword': if (LOCK_API_WORD) { await tgReply(fromid, 'Command setword locked'); } else { await db.set(`API_WORD_${fromid}`, value); await tgReply(fromid, "API_WORD saved"); } break; case 'setsystem': await db.set(`API_SYSTEM_MESSAGE_${fromid}`, value); await tgReply(fromid, "API_SYSTEM_MESSAGE saved"); break; default: await tgReply(fromid, 'Unknown command'); break; } res.send('success'); return true; } else if (input === '/help') { await tgReply(fromid, helpDoc); res.send('success'); return true; } else { // 如果没有定义的命令 const word = await db.get(`API_WORD_${fromid}`) || DEFAULT_API_WORD; const key = await db.get(`API_KEY_${fromid}`) || DEFAULT_API_KEY; const url = await db.get(`API_URL_${fromid}`) || DEFAULT_API_URL; if (!key || !url) { await tgReply(fromid, `请先设置API_KEY[${key ? '✅' : '❌'}] - API_URL[${url ? '✅' : '❌'}] - API_WORD[${word ? word : ' '}]\n\n${helpDoc}`); res.send('success'); return true; } else { // 如果设置了触发词 if( word ) { if( input.indexOf(word) !== -1 ) { input = input.replace(word, ''); }else { return res.send('success'); } } res.send('success'); const msg = reply ? `引用：${reply}\n\n${input}` : input; process.nextTick(() => { llmReply(key, url, msg, fromid, 'telegram'); }); return true; } } res.send('success'); return true; }); app.use((err, req, res, next) => { console.error(err); // 将错误信息打印到控制台 // 根据需要进行其他处理，例如发送错误响应给客户端 res.status(500).send('Internal Server Error'); }); app.listen(9000, () => { console.log('Web server started on port 9000'); }); process.on('unhandledRejection', (reason, promise) => { console.error('Unhandled Rejection at:', promise, 'reason:', reason); // 应用可能需要做一些清理工作 }); process.on('uncaughtException', (err, origin) => { console.error('Caught exception:', err, 'Exception origin:', origin); // 应用可能需要做一些清理工作 }); // ==== functions === async function tgReply(uid, content, format = 'text') { const url = `${TELEGRAM_BOT_API}bot${TELEGRAM_BOT_TOKEN}/sendMessage`; // MarkdownV2 // content = format.toLowerCase() === 'markdownv2' ? tg_escape_v2(content) : content; const data = { chat_id: uid, text: content, // parse_mode: format }; console.log("tg send", url, JSON.stringify(data)); const response = await fetch(url, { method: 'POST', body: JSON.stringify(data), headers: { 'Content-Type': 'application/json' } }); const json = await response.text(); console.log("tg ret", json); return json; } async function llmReply(apikey, url, content, openid, type = 'wechat') { if (type === 'wechat') sendTyping(openid); else sendTypingTg(openid); // let lastContent = ''; const stream = String(STREAM).toLowerCase() === 'true'; let buffer = ''; const api2d = new Api2d(apikey, url, (TIMEOUT||180)*1000 ); const messages = [{ "role": "user", "content": content }]; const systemMessage = await db.get(`API_SYSTEM_MESSAGE_${openid}`); if (systemMessage) { messages.unshift({ "role": "system", "content": systemMessage }); } const payload = { model: db.get(`MODEL_${openid}`) || DEFAULT_MODEL, messages, stream, onMessage: async (chars, char) => { // 流模式下，每返回 REPLY_CHUNK_LENGHT 个字符，就发送一次 buffer = buffer + char; if (buffer.length > REPLY_CHUNK_LENGHT) { const retContent = buffer+'…'; buffer = ''; if (type == 'wechat') await sendMessage(openid, retContent); else await tgReply(openid, retContent); } } }; if (MAX_TOKEN) payload.max_tokens = parseInt(MAX_TOKEN); if (TEMPERATURE) payload.temperature = parseFloat(TEMPERATURE); console.log("ai payload", payload); const result = await api2d.completion(payload) // 非流式下，直接发送 if (!stream) { console.log("ai ret", result); const retContent = result.error ? JSON.parse(result.error).error.message : result.choices[0].message.content; // 如果 retContent 长度超过 REPLY_CHUNK_LENGHT ，则分段发送 const chunks = splitString(retContent, parseInt(REPLY_CHUNK_LENGHT)||1000); console.log("chunks", chunks); for (let i = 0; i < chunks.length; i++) { const chunk = chunks[i]; if (type == 'wechat') await sendMessage(openid, chunk); else await tgReply(openid, chunk); } }else { // 如果 buffer 里还有内容，发送 buffer += '◾️'; if (buffer.length > 0) { if (type == 'wechat') await sendMessage(openid, buffer); else await tgReply(openid, buffer); } } return result; } // 发送客服输入状态 async function sendTyping(openid) { const atoken = await getAccessToken(); const url = `https://api.weixin.qq.com/cgi-bin/message/custom/typing?access_token=${atoken}`; const response = await fetch(url, { method: 'POST', body: JSON.stringify({ touser: openid, command: 'Typing' }) }); const json = await response.json(); // console.log(json); return json; } async function sendTypingTg(uid) { const url = `${TELEGRAM_BOT_API}bot${TELEGRAM_BOT_TOKEN}/sendChatAction`; const data = { chat_id: uid, action: 'typing' }; // console.log("tg typing", url, JSON.stringify(data)); const response = await fetch(url, { method: 'POST', body: JSON.stringify(data), headers: { 'Content-Type': 'application/json' } }); const json = await response.text(); // console.log("tg typing ret", json); return json; } // 发送客服消息 async function sendMessage(openid, content) { const atoken = await getAccessToken(); if (!atoken) { console.log("get access token failed"); return false; } else { // console.log("get access token ok", atoken); } const url = `https://api.weixin.qq.com/cgi-bin/message/custom/send?access_token=${atoken}`; const response = await fetch(url, { method: 'POST', body: JSON.stringify({ touser: openid, msgtype: 'text', text: { content: content } }) }); const json = await response.json(); // console.log(json); if (json.errcode === 40001) { cache.delete('access_token_info'); return false; } return json; } async function getAccessToken() { const cacheInfo = cache.get('access_token_info'); // 如果是五分钟前的数据，重新获取 if (cacheInfo && cacheInfo.timestamp + 5 * 60 * 1000 > Date.now()) { return cacheInfo.access_token; } else { console.log("remove cache"); cache.delete('access_token_info'); } const url = `https://api.weixin.qq.com/cgi-bin/stable_token`; // 获取 stable token const response = await fetch(url, { method: 'POST', body: JSON.stringify({ appid: MP_APPID, secret: MP_APPSECRET, grant_type: 'client_credential' }) }); const json = await response.json(); // console.log("stable token ret", json); if (!json.errcode) { const save = { access_token: json.access_token, timestamp: Date.now(), expired_at: Date.now() + (json.expires_in - 30) * 1000 }; cache.set('access_token_info', save); return json.access_token; } return false; } function makeMsg(fromusername, tousername, content) { return { ToUserName: fromusername, FromUserName: tousername, CreateTime: Date.now(), MsgType: 'text', Content: content }; } function sendReply(res, payload) { // 如果没有设置Content-Type，那么设置为text/xml if (!res.get('Content-Type')) { res.set('Content-Type', 'text/xml'); } res.send(json2xml(payload)); } function checkSignature(req, res, next) { const { signature, echostr, timestamp, nonce } = req.query; if (echostr) { res.send(echostr); return; } const token = MP_TOKEN; const arr = [token, timestamp, nonce]; arr.sort(); const str = arr.join(''); const sha1 = crypto.createHash('sha1'); sha1.update(str); const sha1Str = sha1.digest('hex'); if (sha1Str !== signature) { res.send('Invalid signature'); return; } next(); } function json2xml(json) { return (new xml2js.Builder()).buildObject({ xml: json }).replace(/<\?xml.*?\?>\s*/, ""); } function tg_escape_v2(string) { const specialCharacters = ['_', '*', '[', ']', '(', ')', '~', '`', '>', '#', '+', '-', '=', '|', '{', '}', '.', '!']; const escapedCharacters = ['\\_', '\\*', '\\[', '\\]', '\\(', '\\)', '\\~', '\\`', '\\>', '\\#', '\\+', '\\-', '\\=', '\\|', '\\{', '\\}', '\\.', '\\!']; return string.replace(specialCharacters, escapedCharacters); }; function splitString(str, length) { let result = []; for (var i = 0; i < str.length; i += length) { result.push(str.substring(i, i + length)); } return result; } ================================================ FILE: package.json ================================================ { "name": "botchan", "version": "1.0.0", "main": "index.js", "repository": "https://gitlab.com/easychen/botchan.git", "author": "Easy ", "type": "module", "scripts": { "dev": "nodemon index.js", "start": "node index.js", "docker-run": "docker run --rm -it -p 9000:9000 --name botchan botchan", "docker-build": "docker buildx build --platform linux/amd64,linux/arm64 -t botchan .", "docker-push": "docker tag botchan easychen/botchan:latest && docker push easychen/botchan:latest && TAG=$(date +%Y%m%d%H%M%S) && docker tag botchan easychen/botchan:$TAG && docker push easychen/botchan:$TAG && echo Pushed tag: $TAG", "docker-build-push": "docker buildx create --use --name xbd && TAG=$(date +%Y%m%d%H%M%S) && docker buildx build -t easychen/botchan:latest -t easychen/botchan:$TAG --platform=linux/amd64,linux/arm64,linux/arm/v7 --push . && docker buildx rm xbd && echo Pushed tag: $TAG" }, "dependencies": { "api2d": "^0.1.37", "body-parser": "^1.20.2", "cors": "^2.8.5", "cross-fetch": "^4.0.0", "dotenv": "^16.3.1", "express": "^4.18.2", "express-xml-bodyparser": "^0.3.0", "knex": "^2.5.1", "mysql2": "^3.6.1", "simple-json-db": "^2.0.0" }, "license": "UNLICENSED", "private": true, "devDependencies": { "nodemon": "^3.0.1" } } ================================================ FILE: yarn-error.log ================================================ Arguments: /usr/local/bin/node /Users/easy/.yarn/bin/yarn.js add cross-node PATH: /Users/easy/.yarn/bin:/Users/easy/.config/yarn/global/node_modules/.bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/go/bin:/opt/podman/bin:/Users/easy/.yarn/bin:/Users/easy/.config/yarn/global/node_modules/.bin:/Users/easy/.cargo/bin Yarn version: 1.22.19 Node version: 18.14.0 Platform: darwin x64 Trace: Error: https://registry.npmjs.org/cross-node: Not found at params.callback [as _callback] (/Users/easy/.yarn/lib/cli.js:66145:18) at self.callback (/Users/easy/.yarn/lib/cli.js:140890:22) at Request.emit (node:events:513:28) at Request. 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